Rārangi ihirangi: :: Library Catalog

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Kaituhi matua:	Mukherjee, Jaita
Hōputu:	Recurso digital
Reo:
I whakaputaina:	Zenodo 2026
Ngā marau:	artificial intelligence
Urunga tuihono:	https://doi.org/10.5281/zenodo.20044683
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!

Rārangi ihirangi:

Enterprises increasingly deploy artificial intelligence, observability platforms, automation toolchains, and policy engines to improve operational performance. Yet many programs still fail to convert technical intelligence into sustained enterprise value. A first-order bottleneck is the Insight-to-Action Gap, where analytics do not reliably result in safe operational execution. A second-order bottleneck emerges after operational closure: the Intent-to-Impact Gap, where executed actions are not consistently aligned with financial intent, risk appetite, or portfolio-level value realization. This article synthesizes prior work on the autonomous enterprise, operational intelligence, agentic decisioning, and autonomous value realization into a unified journal-scale framework. We introduce the Intent-Aware Autonomous Enterprise Architecture (IAAEA), a multi-loop control system that connects telemetry, context fusion, intelligence generation, decision orchestration, runbook execution, value-aware financial agents, governance controls, and feedback learning. The paper formalizes operational and financial decision loops, defines decision-trace requirements across technical and financial domains, proposes a maturity model for bounded autonomy, and offers implementation patterns for integrating observability, IT service management, CI/CD, policy-as-code, and financial planning signals. We further provide a rigorous evaluation blueprint that spans operational outcomes, value realization, governance quality, and learning efficacy. The resulting synthesis reframes enterprise autonomy not as isolated automation, but as policy-bounded, evidence-driven, and value-accountable execution at scale.

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